Multi-task weakly-supervised learning model for pulmonary nodules segmentation and detection

For two-dimensional (2D) continuity characteristics of pulmonary nodules CT images, a sequence segmentation model based on U-shaped structure network and Convolutional Long Short-Term Memory (ConvLSTM) network is proposed to fully obtain the context space characteristics of image slices. In order to solve the problem of limited number of annotated samples in pulmonary nodules segmentation task, a ...